Analytics & Insights
Data Analysis
Query complex financial data using natural language
Implementation Process
Follow these steps to implement this use case at ABK
Step 1
Load large financial datasets (transactions, revenue, etc.).
Step 2
Ask Futurum One natural-language questions (e.g., "Which branch had highest loan growth?").
Step 3
Visualize data in graphs or summaries.
Step 4
Highlight patterns like seasonal spending or delinquency rates.
Step 5
Recommend data-driven actions.
Benefits
- Increased operational efficiency and reduced manual workload
- Enhanced customer experience with faster, more accurate service
- Improved compliance and reduced risk of human error
- Data-driven insights for better decision making